Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants

Numerous efforts are underway to determine gene regulatory networks that describe physical relationships between transcription factors (TFs) and their target DNA sequences. Members of paralogous TF families typically recognize similar DNA sequences. Knowledge of the molecular determinants of protein...

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Main Authors: Masi, Federico De, Grove, Christian A., Vedenko, Anastasia, Alibes, Andreu, Gisselbrecht, Stephen S., Serrano, Luis, Walhout, Albertha J. M., Bulyk, Martha L.
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Oxford University Press (OUP) 2012
Online Access:http://hdl.handle.net/1721.1/70992
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author Masi, Federico De
Grove, Christian A.
Vedenko, Anastasia
Alibes, Andreu
Gisselbrecht, Stephen S.
Serrano, Luis
Walhout, Albertha J. M.
Bulyk, Martha L.
author2 Harvard University--MIT Division of Health Sciences and Technology
author_facet Harvard University--MIT Division of Health Sciences and Technology
Masi, Federico De
Grove, Christian A.
Vedenko, Anastasia
Alibes, Andreu
Gisselbrecht, Stephen S.
Serrano, Luis
Walhout, Albertha J. M.
Bulyk, Martha L.
author_sort Masi, Federico De
collection MIT
description Numerous efforts are underway to determine gene regulatory networks that describe physical relationships between transcription factors (TFs) and their target DNA sequences. Members of paralogous TF families typically recognize similar DNA sequences. Knowledge of the molecular determinants of protein–DNA recognition by paralogous TFs is of central importance for understanding how small differences in DNA specificities can dictate target gene selection. Previously, we determined the in vitro DNA binding specificities of 19 Caenorhabditis elegans basic helix-loop-helix (bHLH) dimers using protein binding microarrays. These TFs bind E-box (CANNTG) and E-box-like sequences. Here, we combine these data with logics, bHLH–DNA co-crystal structures and computational modeling to infer which bHLH monomer can interact with which CAN E-box half-site and we identify a critical residue in the protein that dictates this specificity. Validation experiments using mutant bHLH proteins provide support for our inferences. Our study provides insights into the mechanisms of DNA recognition by bHLH dimers as well as a blueprint for system-level studies of the DNA binding determinants of other TF families in different model organisms and humans.
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spelling mit-1721.1/709922022-10-01T13:19:25Z Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants Masi, Federico De Grove, Christian A. Vedenko, Anastasia Alibes, Andreu Gisselbrecht, Stephen S. Serrano, Luis Walhout, Albertha J. M. Bulyk, Martha L. Harvard University--MIT Division of Health Sciences and Technology Bulyk, Martha L. Bulyk, Martha L. Numerous efforts are underway to determine gene regulatory networks that describe physical relationships between transcription factors (TFs) and their target DNA sequences. Members of paralogous TF families typically recognize similar DNA sequences. Knowledge of the molecular determinants of protein–DNA recognition by paralogous TFs is of central importance for understanding how small differences in DNA specificities can dictate target gene selection. Previously, we determined the in vitro DNA binding specificities of 19 Caenorhabditis elegans basic helix-loop-helix (bHLH) dimers using protein binding microarrays. These TFs bind E-box (CANNTG) and E-box-like sequences. Here, we combine these data with logics, bHLH–DNA co-crystal structures and computational modeling to infer which bHLH monomer can interact with which CAN E-box half-site and we identify a critical residue in the protein that dictates this specificity. Validation experiments using mutant bHLH proteins provide support for our inferences. Our study provides insights into the mechanisms of DNA recognition by bHLH dimers as well as a blueprint for system-level studies of the DNA binding determinants of other TF families in different model organisms and humans. National Institute of General Medical Sciences (U.S.) (DK068429) National Institute of General Medical Sciences (U.S.) (HG003985) European Union (PROSPECTS HEALTH-F4-2008-201648) 2012-06-01T18:28:46Z 2012-06-01T18:28:46Z 2011-02 2011-01 Article http://purl.org/eprint/type/JournalArticle 0305-1048 1362-4962 http://hdl.handle.net/1721.1/70992 De Masi, F. et al. “Using a Structural and Logics Systems Approach to Infer bHLH-DNA Binding Specificity Determinants.” Nucleic Acids Research 39.11 (2011): 4553–4563. Web. 1 June 2012. en_US http://dx.doi.org/10.1093/nar/gkr070 Nucleic Acids Research Creative Commons Attribution Non-Commercial http://creativecommons.org/licenses/by-nc/2.5 application/pdf Oxford University Press (OUP) Oxford
spellingShingle Masi, Federico De
Grove, Christian A.
Vedenko, Anastasia
Alibes, Andreu
Gisselbrecht, Stephen S.
Serrano, Luis
Walhout, Albertha J. M.
Bulyk, Martha L.
Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
title Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
title_full Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
title_fullStr Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
title_full_unstemmed Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
title_short Using a structural and logics systems approach to infer bHLH–DNA binding specificity determinants
title_sort using a structural and logics systems approach to infer bhlh dna binding specificity determinants
url http://hdl.handle.net/1721.1/70992
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